---
name: "liquid-audio"

description: |
  LiquidAI LFM2 / LFM2.5 Audio models served by the Python `liquid-audio` backend.
  Supports four roles via the `mode:` option:
    - chat       text-only chat completion (generate_sequential, no audio)
    - asr        speech-to-text (Perform ASR. system prompt)
    - tts        text-to-speech in 4 baked voices (us_male/us_female/uk_male/uk_female)
    - s2s        interleaved speech-to-speech (the realtime any-to-any path)

license: "LFM Open License v1.0"

urls:
  - https://huggingface.co/LiquidAI/LFM2.5-Audio-1.5B
  - https://github.com/Liquid4All/liquid-audio

config_file: |
  backend: liquid-audio
  context_size: 32768
  f16: true
  mmap: true
  # realtime_audio surfaces the model on the Talk page; chat/tts/transcript
  # let it also serve the standalone /v1/chat/completions, /v1/audio/speech,
  # and /v1/audio/transcriptions endpoints (backend implements all three).
  known_usecases:
    - realtime_audio
    - chat
    - tts
    - transcript
    - vad
  parameters:
    model: LiquidAI/LFM2.5-Audio-1.5B
  # Special tokens emitted in the text track during interleaved generation.
  # Included so a future client-side parser can spot them; the LFM2 tool-call
  # format itself is auto-detected by the upstream llama.cpp parser when the
  # model loads under that backend.
  stopwords:
    - <|im_end|>
    - <|endoftext|>